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Tianzhou Ma

Assistant Professor, Epidemiology and Biostatistics

Dr. Tianzhou (Charles) Ma is an assistant professor of Biostatistics in the Department of Epidemiology and Biostatistics at the University of Maryland. His research focuses on developing novel, useful and timely statistical methods and software in genetics and bioinformatics. His expertise lies in meta-analysis, data integration, Bayesian analysis, machine learning and high-dimensional variable selection. His methods have wide application in neuroscience, cancer and epidemiology fields.


SPH | Room 2234M

(301) 405-6421

Areas of Interest

Core Faculty

Bioinformatics; Statistical Genetics; Big Data Integration; Machine Learning; Neuroscience; Cancer

PhD, Biostatistics, 2018

University of Pittsburgh

MS, Biostatistics, 2013

Yale University

BS, Genetics and Biotechnology, 2010

University of Toronto

EPIB 661 Applied Multivariate Data Analysis
EPIB 664 Missing Data Analysis
EPIB 652 Categorical Data Analysis

MPower BHHP seed grant, University of Maryland, 2021

FY20-21 FSRA Award, UMD Graduate School, 2019

Delta Omega Membership, Delta Omega Honorary Society in Public Health, 2018

Student Paper Award, American Statistical Association Section on Bayesian Statistical Science (SBSS), 2017

Student of the Year, American Statistics Association (ASA) Pittsburgh chapter, 2017

Best Paper Award, Dahshu Data Science Symposium: Computational Precision Health, 2017

Outstanding Graduate Student Researcher Award, Department of Biostatistics, University of Pittsburgh, 2016

Travel Award to attend "Optimization Opening Workshop," Statistical and Applied Mathematical Sciences Institute (SAMSI), 2016